Prediction of Visual Acuity After Cataract Surgery by Deep Learning Methods Using Clinical Information and Color Fundus Photography.

Journal: Current eye research
PMID:

Abstract

PURPOSE: To examine the performance of deep-learning models that predicts the visual acuity after cataract surgery using preoperative clinical information and color fundus photography (CFP).

Authors

  • Che-Ning Yang
    School of Medicine, National Taiwan University, Taipei, Taiwan.
  • Yi-Ting Hsieh
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan.
  • Hsu-Hang Yeh
    Department of Biomedical Data Science, Stanford University, Palo Alto, CA, USA.
  • Hsiao-Sang Chu
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan.
  • Jo-Hsuan Wu
    Shiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, CA, USA.
  • Wei-Li Chen
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan.